# beam

> beam — dowhile-labs-beam. Use this tool when you need to securely share sensitive text with humans or AI agents, solving problems of data privacy and security by providing an ephemeral text transport solution. It accepts text inputs and outputs the shared text once before deleting it forever. Utilize beam in contexts where temporary and secure text sharing is required, such as collaborative projects or confidential communications.

Canonical page: https://skillsregistry.net/skills/dowhile-labs-beam  
JSON: https://api.skillsregistry.net/v1/skills/dowhile-labs-beam

## Description

Ephemeral text transport for humans and AI agents. Read once. Gone forever.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dowhile-labs/beam)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dowhile-labs-beam"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dowhile-labs-beam` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dowhile-labs-beam/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt